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Real Time Energy Monitoring in Labs
MIT Green Labs Educational Seminar – Wednesday, May 31, 2017
Lab Energy Assessment Center, Mechanical Engineering, MIT
Daniel J. Preston, Director Alice Ursella, Assistant Director
Ariel S. Anders, Lead Technology Developer Georgia Phillips, UROP
Max Drake, UROP Dheekshita Kumar, UROP
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Delaying the Energy Crisis
Coal,
900 TW-y
Uranium,
90-300 TW-y
Oil,
240 TW-y
Natural Gas,
215 TW-y
Global Consumption,16 TW
Energy Efficiency, 5 TW
Wave and Tidal, 0.5 TW
Geothermal, 2 TW
Hydro, 4 TW
Biomass, 6 TW
Wind, ~50 TW
Solar,
23,000 TW
Nonrenewable Total Reserves:Renewable Yearly Production:
Hubbert’s peak analysis for oil reserves in the continental US – global analysis predicts
peak will occur this decade
Earth’s finite and renewable energy reserves (TW = 1012 watts) – energy efficiency is comparable to some renewable sources
• Renewable energy sources currently not advanced enough to replace nonrenewables
• Full implementation of energy-saving measures could delay the impending nonrenewable crisis to 50% later than its current expected arrival
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Targeting MIT Labs
• Buildings with labs consume 300%
more energy
• Within lab, equipment and small
power is over 1/3 of energy use
• An additional 12% of energy is
consumed by lighting, and
ventilation for fume hoods also
contributes
--courtesy of Mark Mullins
The LEAC targets labs to reduce energy consumption and save resources
--MIT Office of Sustainability
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Similar Programs
• Industrial Assessment Centers
• Trips to local factories/plants
• Record energy consumption
• Deliver report suggesting
ways to save resources
• Located nearby at UMass
• Harvard
• Suggest sustainable practices
• Host competitions
• BU
• Classroom certificates based
on surveys
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Lab Energy Assessment
Monitoring system set-up (Wemos and cameras)
Collect data
Process and analyze data
Present recommendations based on results
Follow up to check progress
5
Lab Energy Assessment
Monitoring system set-up (Wemos and cameras)
Collect data
Process and analyze data
Present recommendations based on results
Follow up to check progress
9
Data Collection for Lights and Hoods
• Hood data available from BMS but difficult to interpret
• Data not available for overhead lighting
• Alternative solution – video processing:
Switch ON
Switch OFF
Live feed Processed Feed
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Video Processing for Fume Hoods
AR tags
AR tags mounted on sash
• AR (augmented reality) tags are recognizable by video
processing software • Distance
• Location
• Determine whether hood sash is open, calculate energy
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Other Data Collection
• Discussion with lab point-of-contact or representative
• Photos of equipment, including nameplates
• Recording equipment not monitored by data loggers
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Lab Energy Assessment
Monitoring system set-up (Wemos and cameras)
Collect data
Process and analyze data
Present recommendations based on results
Follow up to check progress
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Example of Data Collection
• Samples prepared by plasma cleaning, then periodically imaging
(with experiment lighting) with and without heat applied
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Benchmarking Common Equipment
Lab equipment Power (W) LED Lighted Power Strip 0.2 Wemo Power Monitor 1.3 Desktop Computer Tower 104.8 Desktop Montor 13.2 Laptop Computer 12.6 Lab Task Light: Low 26.6 Lab Task Light: Medium 34.6 Lab Task Light: High 39.7 Optical Microscope Light 59.9 Heat Gun: Low 575.0 Heat Gun: High 1152.4 Vacuum Pump: Startup 506.1 Vacuum Pump: Steady State 402.7 Hot Plate: Startup 1021.2 Hot Plate: Steady 150C 202.7 Hot Plate: Steady 300C 317.1 Ultrasonicator 25.6 Plasma Cleaner: Standby 3.2 Plasma Cleaner: Operation 365.9
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Lab Energy Assessment
Monitoring system set-up (Wemos and cameras)
Collect data
Process and analyze data
Present recommendations based on results
Follow up to check progress
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Example of Recommendation
Replace old incubator with new model
0 0.5 1 Time (min)
Ene
rgy
Co
nsu
mp
tio
n (
J)
New (proposed) Incubator Old Incubator
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Lab Energy Assessment
Monitoring system set-up (Wemos and cameras)
Collect data
Process and analyze data
Present recommendations based on results
Follow up to check progress
Typically occurs within 1-2 months of report delivery, scheduling is flexible
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Summary
• Perform lab assessments
• Overall lab energy consumption footprint
• Recommendations for energy-saving measures
• Excellent learning experience for undergraduates